Timeline for Interpreting main effects in the presence of an interaction in logistic regression
Current License: CC BY-SA 3.0
16 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 20, 2022 at 19:08 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Apr 5, 2022 at 19:05 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Dec 3, 2021 at 4:05 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jul 31, 2021 at 2:03 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Mar 25, 2021 at 0:01 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Nov 23, 2020 at 8:01 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jul 22, 2020 at 5:05 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Mar 19, 2020 at 11:01 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Nov 7, 2019 at 23:01 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jul 9, 2019 at 0:01 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Mar 5, 2019 at 4:06 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jun 13, 2015 at 17:39 | history | edited | FCassidy | CC BY-SA 3.0 |
added 55 characters in body
|
| Jun 10, 2015 at 18:56 | comment | added | FCassidy | Hi Alex, Thanks for your response. I did look at the proportion of successful responses for light levels in binned increments. These values seem to follow the predicted probability curve quite closely, although I don't believe I tested this statistically. I'm not sure there is a U-shaped function because both lasers work well (are effective) in the dark and neither works well in daylight (are ineffective). The difference between them is greatest at intermediate light levels. Given this information, do you think it makes sense to include light as a linear term? | |
| Jun 8, 2015 at 8:51 | answer | added | Eric Farng | timeline score: 1 | |
| Jun 7, 2015 at 23:42 | comment | added | Alex Holcombe | Definitely not the maximum difference. Conceivably could be the average difference, I believe, depends on how valid the logistic model is here. You have to look at the raw data- don't just plot predicted probabilities, also plot the means. However, you imply there is a U-shaped function (both ineffective at dark and both ineffective at bright, but ok in the middle) which means your model is invalid. You could address that by adding a quadratic term. | |
| Jun 7, 2015 at 19:16 | history | asked | FCassidy | CC BY-SA 3.0 |